A dynamic controller design method is presented for linear plant models with random initial conditions such that time domain and frequency domain specifications are met. A linear quadratic Gaussian (LQG) controller structure is employed and the state weighting matrix Q and state noise intensity matr
Feedback design in control reconfigurable systems
โ Scribed by N. Eva Wu; T. J. Chen
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 583 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1049-8923
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper is concerned with the design of reconfigurable control laws for fault-tolerant systems. From the control design point of view the issue of performance robustness during the system normal operation versus failure sensitivity at the time of a system component failure is addressed. To achieve a balanced design, a parametrized set of controllers satisfying a prescribed performance level is first constructed, and then the parameter is optimized under a detection criterion that sensitizes the measurements to some specific failures. An example involving aircraft surface impairment is given to explain the procedure for obtaining the optimized design.
๐ SIMILAR VOLUMES
## Abstract Feedback loops have been identified in a variety of regulatory systems and organisms. While feedback loops of the same type (negative or positive) tend to have properties in common, they can play distinctively diverse roles in different regulatory systems, where they can affect virulenc
iterative learning control method is proposed to achieve precise tracking control of a class of nonlinear systems over a finite time interval. The learning is done in a feedback configuration and the learning law updates the feedforward input from the plant input of the previous trial. A sufficient
A parameterization of fixed gain output feedback controllers which will assign a complete set of distinct eigenvalues to a given state-space system is presented. The main result is a compact parametric expression for the output feedback controller gain matrix explicitly characterized by two sets of
7he problem of determining what variables are the more important to measure in a linear time-invariant multivariable system with linear time-invariant incomplete state feedback is considered. Summary--The problem of choosing the "best" state variables to measure from a set of measurable state varia